Sample Segmentation

2. The method of claim 1, wherein the different predetermined subsets of wavelength comprise different combinations of the wavelength bands, wherein each of the different combinations includes two or more of the wavelength bands.

3. The method of claim 1, wherein the different predetermined subsets of wavelength bands comprise different pairs of the wavelength bands.

4. The method of claim 1, wherein the accessed data specifies, for at least one of the region types, a combination of two wavelength bands that represents a difference between the image data for the two wavelength bands divided by a sum of the image data for the two wavelength bands.

6. The method of claim 1, wherein at least one of the sets of image data includes image data derived from one or more wavelength bands different from the predetermined subset of wavelength bands used for segmentation of the region type.

7. The method of claim 1, wherein the region types correspond to different materials.

8. The method of claim 1, wherein the region types correspond to different conditions or an object.

9. The method of claim 1, wherein providing the output data comprises providing the output data to a classification system configured to determine a classification for an object represented in the hyperspectral image.

10. The method of claim 1, comprising using one or more of the segmented regions to determine a classification of or a condition of an object represented in the hyperspectral image.

12. The system of claim 11, wherein the different predetermined subsets of wavelength comprise different combinations of the wavelength bands, wherein each of the different combinations includes two or more of the wavelength bands.

13. The system of claim 11, wherein the different predetermined subsets of wavelength bands comprise different pairs of the wavelength bands.

14. The system of claim 11, wherein the accessed data specifies, for at least one of the region types, a combination of two wavelength bands that represents a difference between the image data for the two wavelength bands divided by a sum of the image data for the two wavelength bands.

16. The system of claim 11, wherein at least one of the sets of image data includes image data derived from one or more wavelength bands different from the predetermined subset of wavelength bands used for segmentation of the region type.

17. The system of claim 11, wherein the region types correspond to different materials.